alirezadir / Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
☆4,448Updated last year
Alternatives and similar repositories for Production-Level-Deep-Learning:
Users that are interested in Production-Level-Deep-Learning are comparing it to the libraries listed below
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"☆9,383Updated 2 years ago
- In this repository, I will share some useful notes and references about deploying deep learning-based models in production.☆4,333Updated 5 months ago
- https://huyenchip.com/ml-interviews-book/☆3,674Updated last month
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,551Updated 6 months ago
- A curated list of references for MLOps☆13,055Updated 5 months ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆18,355Updated this week
- Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.☆10,674Updated last year
- This repo is meant to serve as a guide for Machine Learning/AI technical interviews.☆6,063Updated 2 months ago
- ✍️ A carefully curated list of NLP paper summaries☆1,479Updated 3 years ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,337Updated 6 months ago
- A repo for data science related questions and answers☆2,424Updated 2 years ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,086Updated 8 months ago
- Full Stack Deep Learning Online Course☆898Updated 3 years ago
- This repository is to prepare for Machine Learning interviews.☆1,540Updated 5 years ago
- Top 200 deep learning Github repositories sorted by the number of stars.☆1,708Updated last year
- PyTorch tutorials and best practices.☆1,682Updated last month
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,543Updated 4 years ago
- Machine Learning and Computer Vision Engineer - Technical Interview Questions☆3,472Updated 3 months ago
- Awesome free machine learning and AI courses with video lectures.☆2,921Updated 4 months ago
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,852Updated 2 years ago
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,439Updated last year
- The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.☆1,931Updated 9 months ago
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,434Updated this week
- Papers & presentation materials from Hugging Face's internal science day☆2,046Updated 4 years ago
- A Code-First Introduction to NLP course☆3,440Updated 2 years ago
- Natural Language Processing Best Practices & Examples☆6,407Updated 2 years ago
- Production infrastructure for machine learning at scale☆8,030Updated 10 months ago
- This repo contains annotated research papers that I found really good and useful☆2,736Updated last month
- NYU Deep Learning Spring 2020☆6,752Updated 2 weeks ago
- Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.☆2,542Updated 4 years ago